注意这个是识别牙齿的不包含任何牙齿疾病在里面，注意查看图片
数据集格式：labelme格式(不包含mask文件，仅仅包含jpg图片和对应的json文件)
图片数量(jpg文件个数)：3971
标注数量(json文件个数)：3971
标注类别数：32
标注类别名称:["LL1","LL2","LL3","LL4","LL5","LL6","LL7","LL8","LR1","LR2","LR3","LR4","LR5","LR6","LR7","LR8","UL1","UL2","UL3","UL4","UL5","UL6","UL7","UL8","UR1","UR2","UR3","UR4","UR5","UR6","UR7","UR8"]
每个类别标注的框数：
LL1 count = 3926
LL2 count = 3943
LL3 count = 3953
LL4 count = 3876
LL5 count = 3781
LL6 count = 3480
LL7 count = 3702
LL8 count = 2602
LR1 count = 3930
LR2 count = 3924
LR3 count = 3952
LR4 count = 3890
LR5 count = 3800
LR6 count = 3493
LR7 count = 3712
LR8 count = 2581
UL1 count = 3879
UL2 count = 3828
UL3 count = 3882
UL4 count = 3714
UL5 count = 3663
UL6 count = 3678
UL7 count = 3783
UL8 count = 2488
UR1 count = 3877
UR2 count = 3837
UR3 count = 3878
UR4 count = 3713
UR5 count = 3691
UR6 count = 3703
UR7 count = 3776
UR8 count = 2420
总框数：116355
使用标注工具：labelme=5.5.0
所在github仓库：firc-dataset
图片分辨率：640x640
标注规则：对类别进行画多边形框polygon
重要说明：可以将数据集用labelme打开编辑，json数据集需自己转成mask或者yolo格式或者coco格式作语义分割或者实例分割
特别声明：本数据集不对训练的模型或者权重文件精度作任何保证
图片预览：
标注例子：
原图（随机选16张图）：
标注绘制结果：
labelme编辑图实例：
